Microsoft Corporation Surface Laptop Studio 2
Geekbench AI Score
3261
Single Precision Score
1229
Half Precision Score
4617
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | December 21 2024 07:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Laptop Studio 2 |
| Motherboard | Microsoft Corporation Surface Laptop Studio 2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2541
472.6 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (Q)
|
99% |
4844
903.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
879
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2459
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5644
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2599
3.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
17386
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2398
190.2 IPS |
|
|
Object Detection (HP)
|
100% |
568
45.1 IPS |
|
|
Object Detection (Q)
|
86% |
4380
352.0 IPS |
|
|
Face Detection (SP)
|
100% |
6321
75.1 IPS |
|
|
Face Detection (HP)
|
100% |
1397
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
7085
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6856
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1771
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11818
94.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12478
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8296
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18848
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2233
82.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1601
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3319
122.9 IPS |
|
|
Text Classification (SP)
|
100% |
1280
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
640
853.6 IPS |
|
|
Text Classification (Q)
|
97% |
458
613.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2024
40.7 IPS |
